Mark Hepple

1.9k citations
75 papers · 1.3k · h-index 19

Impact in

Papers in

Mark Hepple

74 papers receiving 1.2k citations

Peers

Mark Hepple
Comparison fields: 5 of 69
  • Artificial Intelligence 1.1k
  • Health Information Management 31
  • Signal Processing 73
  • Information Systems 134
  • Language and Linguistics 54
Replace Tomoko Ohkuma with:
Tomoko Ohkuma Japan
Johannes Leveling Ireland
Yusuke Miyao Japan
Anni Coden United States
Richárd Farkas Hungary
Ashequl Qadir United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Hepple

Since Specialization
Citations

This map shows the geographic impact of Mark Hepple's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Hepple with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Hepple more than expected).

Fields of papers citing papers by Mark Hepple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Hepple. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Hepple. The network helps show where Mark Hepple may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Hepple, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Hepple Line = papers co-authored together Mark Hepple links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007225
2 2009128
3
The CLEF corpus: semantic annotation of clinical text.
200795
4 200090
5 200977
6 201641
7 200838
8 200836
9 199834
10 198931
11 200830
12
The University of Sheffield's TREC 2005 Q&A Experiments.
200526
13
CLEF: joining up healthcare with clinical and post-genomic research
200324
14 200523
15 200522
16 201622
17
Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval
201021
18 200720
19 199318
20 199118

About Mark Hepple

Mark Hepple is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Information Systems and Statistical and Nonlinear Physics, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (53 papers), Topic Modeling (34 papers), Semantic Web and Ontologies (16 papers), Logic, programming, and type systems (14 papers), Speech and dialogue systems (11 papers), Advanced Text Analysis Techniques (8 papers), Logic, Reasoning, and Knowledge (8 papers) and Biomedical Text Mining and Ontologies (8 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Health Information Management (31 citations), Signal Processing (73 citations), Information Systems (134 citations) and Language and Linguistics (54 citations). Mark Hepple has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include Robert Gaizauskas, Angus Roberts, James Pustejovsky, Marc Verhagen, Frank Schilder, Yikun Guo, Andrea Setzer, Graham Katz, Ian Roberts and George Demetriou. Their work appears in journals such as Language Resources and Evaluation, Natural Language Engineering, Journal of Biomedical Informatics, ACM SIGIR Forum and Comparative and Functional Genomics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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